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is obtained by keyword analysis for different time periods and research field maps. The integrated method is applied on etching technology which is a material processing technology particularly important for semiconductor industry. On the basis of the results obtained in the practice of etching technology, six different
Ranking of object summaries proposed a keyword search paradigm which produces, as a query result, a ranked list of object summaries (OSs) in top-k and size-l; each OS summaries all data held in the relational database about a particular data subject (DS). This paper further investigates the volatility of the ranking
where our approach is tested on images retrieved from Google keyword based image search engine. The results show that a combination of our approach as a local image descriptor with another global descriptor outperforms other approaches.
In this paper, we propose the ldquoaddedrdquo use of proximity search to a Web search query for narrowing down the set of documents returned as answers to a keyword based search query. This approach adds value to Web search query results by allowing users to better express what they are looking for. Most of the
In the era of information explosion, information retrieval has become a bottleneck in information sharing and integration. However currently, the existing information retrieval methods are mainly based on keyword matching, which can not fully take advantage of the information context and potential knowledge. All of
proposed solution in this paper involves text-mining (keyword extraction) and web service technologies for enhancing the existing results and to provide a comprehensive set of information related to local clinical records from the internal database.
Web-based mapping applications such as Google Maps or Virtual Earth have become increasingly popular. However, current map search is still keyword-based and supports a limited number of spatial predicates. In this paper, we build towards a natural language query interface to spatial databases to answer crime-related
interchangeable module which uses 2-Way SMS for allowing the interchange of messages, traffic query and result, between mobile device and the system. 2) The data retrieving module which feeds the really simple syndication (RSS) document from NECTEC real-time traffic report Website for traffic information retrieval. 3) The keyword
advent of Web mining (WM), which gives us a window in this area to allow the management of science and technology (S&T) becoming more convenient. In this paper, we use the keyword-based MA as the analysis vector doing the research on the role of WM on the TOA, and attempt to give the focus of future research in the
XML employs a tree-structured model for representing data, and queries over XML documents are typically represented as twig patterns. At the same time, keyword search over XML documents has been well studied because of its intuitive and friendly query interface. Consequently, XQuery Full-Text emerges as a full-text
design and prototype implementation of XSense, an architecture supporting metadata and query services for an underlying large scale dynamic P2P sensor network. We cluster sensor devices into manageable groupings to optimise the query process and automatically locate appropriate clusters based on keyword abstraction from
The analysis of the vast storehouse of email content accumulated or produced by individual users has received relatively little attention other than for specific tasks such as relationship. Current email analysis in standard client applications consists of keyword based matching techniques for relationship of email
Content-based image retrieval (CBIR) has been adopted as a complementary technique to the keyword-based image search. Relevance feedback (RFB) is considered as an effective means to bridge the gap between the designated features and the run-time semantics on a CBIR system. Like many other interactive system, a good
Recently, the development of 3D model database systems and retrieval components are becoming increasingly important due to a rapidly growing amount of available 3D models. This has made the retrieval for specific 3D models become a vital issue. Unfortunately, traditional keyword searching techniques are not always
which regions of interest (ROIs) become highlighted. These UIMs are used to establish and reinforce keyword-to-image relations. A tentative application for semantic annotation is also presented.
to keyword searching. Thus far, the identification of the facets was either a manual procedure, or relied on apriori knowledge of the facets that can potentially appear in the underlying collection. In this paper, we present an unsupervised technique for automatic extraction of facets useful for browsing text databases
machines interacting with other machines to yield results which are user oriented and precise. A New Integrated Case And Relation Based Page Rank Algorithm have been proposed to rank the results of a search system based on a user's topic or query. This paper proposes an optimized semantic searching of keywords represent by
relational database of web pages. So there are many researches focusing on the search in these relational database with keywords, compared with these researches, our algorithms are mainly based on bags using the greedy algorithms and supporting the phrase recognition by utilizing multiple dictionaries. We make a comparison
detail. The paper presents the similarity algorithm of domain keywords and common words respectively and integrates them into the question similarity. Experimental results show that the proposed method can achieve good performance and the system is applied.
Search engine is one of the mostly-used big data applications. However, search system varies in different platforms and fields, and there are few approaches to evaluate its quality. Search engine for online shopping systems combines text search and classification-based retrieval. It is more difficult to validate and evaluate quality since there are no definite quality standards or testing methods...
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